Trial Optimization
CheckedSkenetechnologies' trial-optimization intelligently adjusts experiment parameters to accelerate discovery and maximize results.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add skenetechnologies/plg-skills --skill trial-optimization -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
skenetechnologies
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned skenetechnologies/plg-skills at 29e3b803c1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 29e3b803c1
- Scanned
- 1 file, 489 lines
About this skill
What it does
This skill optimizes A/B trial designs to improve conversion rates and identify statistically significant results faster. It automatically adjusts parameters like sample size, duration, and traffic allocation based on real-time performance data. The goal is to maximize the learning rate while minimizing wasted resources and time spent running trials.
When to use it
- Website Conversion Rate Optimization: Quickly determine which website variations lead to higher sign-ups or purchases.
- Mobile App Feature Testing: Identify winning features for a new app release with minimal user impact.
- Marketing Campaign Analysis: Optimize ad copy and targeting strategies by running rapid A/B tests on different campaign elements.
- Product Pricing Experiments: Efficiently test various pricing models to find the optimal price point that maximizes revenue.
Key capabilities
- Automated parameter adjustment (sample size, duration, traffic allocation)
- Real-time performance data analysis
- Statistical significance detection
- Trial design optimization
Example prompts
- "Optimize an A/B trial for our landing page, focusing on sign-up conversion."
- "Run a trial to compare two different pricing tiers for our premium subscription."
- "Adjust the sample size and duration of this trial based on current performance data."
Tips & gotchas
The skill requires access to real-time performance metrics from your testing platform. Ensure proper integration with your analytics tools for accurate results.